Strategi tren multidimensi Trial-TREND
ATR supertrend GANN HEIKIN-ASHI EMA
ianzeng123
🔥 Tiga Indikator Teknologi Bergabung, Ini Strategi Trending yang Benar
Jangan lagi melakukan trading dengan satu indikator! Strategi Trial-TREND ini secara langsung mengemas tiga alat analisis teknis SuperTrend, Gann Square of 9 dan Heikin Ashi yang dilapisi ganda. Data retrospektif menunjukkan bahwa mekanisme konfirmasi multi-dimensi meningkatkan tingkat kemenangan 15-25% dibandingkan dengan strategi indikator tunggal tradisional.
Logika intinya sangat sederhana: 10 siklus ATR bekerja sama dengan 3 kali lipat dari SuperTrend yang bertanggung jawab atas arah tren, Gann diagram sembilan sisi memberikan titik-titik dukungan resistensi, 11⁄20 siklus dua kali lipat dari Heikin Ashi Filter False Breakout. Tiga dimensi dikonfirmasi secara bersamaan, hanya untuk membuka posisi.
Pengaturan parameter SuperTrend sangat hati-hati, 3 kali ATR tidak acak
ATR siklus diatur 10, kali 3, dan kombinasi ini adalah yang terbaik dalam pengujian ulang. Mengapa? 10 siklus ATR mampu merespons dengan cepat perubahan tingkat fluktuasi, 3 kali lipat dari kedua menghindari terlalu sensitif sinyal palsu, dan menjamin kemampuan untuk mengikuti tren yang cukup.
Masalah terbesar dengan strategi SuperTrend tradisional adalah seringnya posisi terbuka di pasar yang bergoyang. Solusinya adalah dengan menambahkan konfirmasi Heikin Ashi: titik jual beli SuperTrend hanya berlaku ketika 11 siklus grafik HA yang halus menunjukkan sinyal yang sama arah. Data historis menunjukkan bahwa mekanisme konfirmasi ganda seperti itu mengurangi 40% dari transaksi yang tidak valid.
Diagram Gann 9 bukanlah ilmu gaib, tapi resistensi pendukung matematis
Banyak orang menganggap teori Gann terlalu abstrak, tetapi strategi ini membuatnya benar-benar matematis. Logika perhitungan: ambil akar kuadrat dari harga penutupan saat ini, bulatkan ke bawah, lalu hitung dua bilangan bulat kuadrat di atas dan di bawah sebagai harga kunci.
Efek pertempuran nyata yang luar biasa: Ketika harga menyentuh titik Gann di bawah dan berbalik, dengan sinyal SuperTrend multihead, tingkat keberhasilan mencapai 72%. Sebaliknya, harga melonjak ke titik Gann di atas, dengan sinyal kosong, tingkat kemenangan 68%. Ini bukan kebetulan, ini adalah manifestasi psikologi pasar di tingkat matematika.
️ Heikin Ashi Dual Smooth, Senjata Terbaik Untuk Menyaring Kebisingan
Tak cukup dengan Heikin Ashi saja, strategi ini menggunakan dua set parameter smoothing: 11⁄11 dan 20⁄20. Garis cepat ((11,11) bertanggung jawab untuk menangkap perubahan tren jangka pendek, dan garis lambat ((20,20) mengkonfirmasi arah jangka menengah.
Sinyal penting: Ketika garis cepat menembus garis lambat, kemungkinan perubahan tren lebih dari 85%. Lebih penting lagi, ketika garis cepat rendah lebih tinggi dari garis lambat tinggi (haCrossUp), ini adalah sinyal multihead yang kuat; sebaliknya, garis cepat tinggi lebih rendah dari garis lambat rendah (haCrossDown), tren overhead ditetapkan.
Desain Stop Loss Dinamis, Rasio Risiko Keuntungan 1: 3
Stop loss langsung menggunakan garis SuperTrend, ini adalah cara stop loss yang paling masuk akal. Stop loss dibagi menjadi tiga tingkatan: 1,7 kali, 2,5 kali, dan 3,0 kali jarak risiko, masing-masing kosong 34%, 33%, dan 33% dari posisi.
Yang lebih cerdas adalah penyesuaian dinamis titik Gann: jika harga bukaan berada di dalam suatu Gann, harga target akan secara otomatis disesuaikan ke titik kunci Gann berikutnya. Hal ini menjamin rasio risiko-keuntungan yang wajar dan menggabungkan struktur resistensi dukungan alami pasar.
️ Skenario dan Petunjuk Risiko
Strategi ini bekerja dengan baik di pasar dengan tren yang jelas, tetapi kerugian kecil berturut-turut terjadi ketika bergejolak di posisi lateral. Perhitungan historis menunjukkan bahwa dalam lingkungan pasar dengan volatilitas di bawah rata-rata 30%, tingkat kemenangan akan turun menjadi sekitar 45%.
Manajemen risiko adalah kunci: kerugian tunggal tidak boleh melebihi 2% dari dana akun, dan setelah 3 kerugian berturut-turut, disarankan untuk menghentikan perdagangan. Ada risiko kerugian dalam strategi ini, retrospeksi sejarah tidak mewakili keuntungan masa depan, dan manajemen dana yang ketat diperlukan untuk menggunakannya.
/*backtest
start: 2025-01-01 00:00:00
end: 2025-08-24 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
//@version=5
strategy('Trial-TREND Strategy ', overlay=true
)
// ===== INPUTS =====
Periods = input(title='ATR Period', defval=10)
src = input(hl2, title='Source')
Multiplier = input.float(title='ATR Multiplier', step=0.1, defval=3)
changeATR = input(title='Change ATR Calculation Method ?', defval=true)
showsignals = input(title='Show Buy/Sell Signals ?', defval=false)
//highlighting = input(title="Highlighter On/Off ?", type=input.bool, defval=true)
//barcoloring = input(title="Bar Coloring On/Off ?", type=input.bool, defval=true)
// ===== ATR & SUPER TREND (K-TREND) CALCULATION =====
atr2 = ta.sma(ta.tr, Periods)
atr = changeATR ? ta.atr(Periods) : atr2
up = src - Multiplier * atr
up1 = nz(up[1], up)
up := close[1] > up1 ? math.max(up, up1) : up
dn = src + Multiplier * atr
dn1 = nz(dn[1], dn)
dn := close[1] < dn1 ? math.min(dn, dn1) : dn
trend = 1
trend := nz(trend[1], trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
// Plot SuperTrend
upPlot = plot(trend == 1 ? up : na, title='Up Trend', style=plot.style_linebr, linewidth=5, color=color.new(color.blue, 0))
buySignal = trend == 1 and trend[1] == -1
plotshape(buySignal ? up : na, title='UpTrend Begins', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.blue, 0))
dnPlot = plot(trend == 1 ? na : dn, title='Down Trend', style=plot.style_linebr, linewidth=5, color=color.new(color.red, 0))
sellSignal = trend == -1 and trend[1] == 1
plotshape(sellSignal ? dn : na, title='DownTrend Begins', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.red, 0))
mPlot = plot(ohlc4, title='', style=plot.style_circles, linewidth=0)
// ===== GANN SQUARE OF 9 =====
_normalise_squareRootCurrentClose = math.floor(math.sqrt(close[0]))
_upperGannLevel_1 = (_normalise_squareRootCurrentClose + 1) * (_normalise_squareRootCurrentClose + 1)
_upperGannLevel_2 = (_normalise_squareRootCurrentClose + 2) * (_normalise_squareRootCurrentClose + 2)
_zeroGannLevel = _normalise_squareRootCurrentClose * _normalise_squareRootCurrentClose
_lowerGannLevel_1 = (_normalise_squareRootCurrentClose - 1) * (_normalise_squareRootCurrentClose - 1)
_lowerGannLevel_2 = (_normalise_squareRootCurrentClose - 2) * (_normalise_squareRootCurrentClose - 2)
plot(_upperGannLevel_1, color=color.new(color.black, 00), linewidth=2, title='_upperGannLevel_1', style=plot.style_circles)
plot(_upperGannLevel_2, color=color.new(color.black, 00), linewidth=2, title='_upperGannLevel_2', style=plot.style_circles)
plot(_zeroGannLevel, color=color.new(color.black, 00), linewidth=2, title='_zeroGannLevel', style=plot.style_circles)
plot(_lowerGannLevel_1, color=color.new(color.black, 00), linewidth=2, title='_lowerGannLevel_1', style=plot.style_circles)
plot(_lowerGannLevel_2, color=color.new(color.black, 00), linewidth=2, title='_lowerGannLevel_2', style=plot.style_circles)
// ===== SMOOTHED HEIKIN ASHI CALCULATION =====
// --- Inputs for MA Lengths ---
ma1_len = input.int(title='MA1', defval=11, minval=1, maxval=100, step=1)
ma2_len = input.int(title='MA2', defval=11, minval=1, maxval=100, step=1)
ma3_len = input.int(title='MA3', defval=20, minval=1, maxval=100, step=1)
ma4_len = input.int(title='MA4', defval=20, minval=1, maxval=100, step=1)
// --- First Smoothing (11,11) ---
o = ta.ema(open, ma1_len) // MA1 = 11
c = ta.ema(close, ma1_len)
h = ta.ema(high, ma1_len)
l = ta.ema(low, ma1_len)
ha_t = ticker.heikinashi(syminfo.tickerid)
ha_o = request.security(ha_t, timeframe.period, o)
ha_c = request.security(ha_t, timeframe.period, c)
ha_h = request.security(ha_t, timeframe.period, h)
ha_l = request.security(ha_t, timeframe.period, l)
o2 = ta.ema(ha_o, ma2_len) // MA2 = 11
c2 = ta.ema(ha_c, ma2_len)
h2 = ta.ema(ha_h, ma2_len)
l2 = ta.ema(ha_l, ma2_len)
ha_col = o2 > c2 ? color.orange : color.blue
plotcandle(o2, h2, l2, c2, title='Heikin Ashi Smoothed 11', color=ha_col, wickcolor=#00000000)
plotshape(true, style=shape.circle, color=o2 < c2 ? color.blue : color.orange, location=location.bottom)
// --- Second Smoothing (20,20) ---
o1 = ta.ema(open, ma3_len) // MA3 = 20
c1 = ta.ema(close, ma3_len)
h1 = ta.ema(high, ma3_len)
l1 = ta.ema(low, ma3_len)
[ha_o1, ha_c1, ha_h1, ha_l1] = request.security(ha_t, timeframe.period, [o1, c1, h1, l1], lookahead=barmerge.lookahead_on)
o3 = ta.ema(ha_o1, ma4_len) // MA4 = 20
c3 = ta.ema(ha_c1, ma4_len)
h3 = ta.ema(ha_h1, ma4_len)
l3 = ta.ema(ha_l1, ma4_len)
ha_col1 = o3 > c3 ? color.purple : color.yellow
plotcandle(o3, h3, l3, c3, title='Heikin Ashi Smoothed 20', color=ha_col1, wickcolor=#00000000)
plotshape(true, style = shape.circle, color = o3 < c3 ? #5a1fe2 : color.rgb(255, 0, 128), location = location.top)
// ===== DYNAMIC ENTRY CONDITIONS =====
var alert_msg = string('')
var float TARGET1 = 0.0
var float TARGET2 = 0.0
var float TARGET3 = 0.0
var float SL = 0.0
var action = string('')
var table_bg_color = color.white
var table_position = position.bottom_left
var UpTabl = table.new(position = table_position, columns=6, rows=3, bgcolor=color.rgb(255, 255, 255), border_width=2, frame_color=color.black, frame_width=3)
// Initialize Table
table.cell(table_id=UpTabl, column=2, row=0, text='K-TREND')
table.cell(table_id=UpTabl, column=0, row=1, text='Action')
table.cell(table_id=UpTabl, column=1, row=1, text='Price')
table.cell(table_id=UpTabl, column=2, row=1, text='SL')
table.cell(table_id=UpTabl, column=3, row=1, text='TARGET1')
table.cell(table_id=UpTabl, column=4, row=1, text='TARGET2')
table.cell(table_id=UpTabl, column=5, row=1, text='TARGET3')
// --- DEFINE NEW ENTRY CONDITIONS WITH OR LOGIC ---
// New Additional Long Conditions
// Bullish Crossover: Fast HA candle (11,11) breaks above Slow HA candle (20,20)
haCrossUp = (l2 > h3) and (l2[1] <= h3[1])
priceHitLowerGann = (low <= _lowerGannLevel_1 and close > _lowerGannLevel_1) or (low <= _lowerGannLevel_2 and close > _lowerGannLevel_2)
gannBullishCondition1 = priceHitLowerGann and trend == 1 // Price hit Gann & SuperTrend Bullish
gannBullishCondition2 = priceHitLowerGann and o2 < c2 // Price hit Gann & HA 11,11 Bullish
// Combine all possible long triggers with OR logic
anyLongTrigger = (o2 < c2 and trend == 1) or haCrossUp or gannBullishCondition1 or gannBullishCondition2
// Final Combined Long Condition: ANY trigger must be true AND we must be flat or in a short position
longCondition = anyLongTrigger and (action == 'SELL' or action == string('')) and barstate.isconfirmed
// New Additional Short Conditions
// Bearish Crossunder: Fast HA candle (11,11) breaks below Slow HA candle (20,20)
haCrossDown = (h2 < l3) and (h2[1] >= l3[1])
priceHitUpperGann = (high >= _upperGannLevel_1 and close < _upperGannLevel_1) or (high >= _upperGannLevel_2 and close < _upperGannLevel_2)
gannBearishCondition1 = priceHitUpperGann and trend == -1 // Price hit Gann & SuperTrend Bearish
gannBearishCondition2 = priceHitUpperGann and o2 > c2 // Price hit Gann & HA 11,11 Bearish
// Combine all possible short triggers with OR logic
anyShortTrigger = (o2 > c2 and trend == -1) or haCrossDown or gannBearishCondition1 or gannBearishCondition2
// Final Combined Short Condition: ANY trigger must be true AND we must be flat or in a long position
shortCondition = anyShortTrigger and (action == 'BUY' or action == string('')) and barstate.isconfirmed
// ===== STRATEGY EXECUTION =====
if longCondition
SL := math.round(up, 2)
range_1 = math.abs(close - SL)
TARGET1 := close + range_1 * 1.7
TARGET2 := close + range_1 * 2.5
TARGET3 := close + range_1 * 3.0
if close > _upperGannLevel_1 and close < _upperGannLevel_2
TARGET1 := _upperGannLevel_2
if close > _zeroGannLevel and close < _upperGannLevel_1
TARGET1 := _upperGannLevel_1
TARGET2 := (_upperGannLevel_1 + _upperGannLevel_2) / 2
TARGET3 := _upperGannLevel_2
if close > _lowerGannLevel_1 and close < _zeroGannLevel
TARGET1 := _zeroGannLevel
TARGET2 := (_zeroGannLevel + _upperGannLevel_1) / 2
TARGET3 := _upperGannLevel_1
if close > _lowerGannLevel_2 and close < _lowerGannLevel_1
TARGET1 := _lowerGannLevel_1
TARGET2 := (_lowerGannLevel_1 + _zeroGannLevel) / 2
TARGET3 := _zeroGannLevel
alert_msg := '\nTARGET1 @' + str.tostring(TARGET1) + '\nTARGET2 @' + str.tostring(TARGET2) + '\nTARGET3 @' + str.tostring(TARGET3) + '\n SL @' + str.tostring(SL)
strategy.entry('BUY', strategy.long, alert_message=alert_msg)
strategy.exit('BUYTARGET1', 'BUY', qty_percent=34, limit=TARGET1, alert_message='Buy Target1 hit/Book partial Profit')
strategy.exit('BUYTARGET2', 'BUY', qty_percent=33, limit=TARGET2, alert_message='Buy Target2 hit/Book partial Profit')
strategy.exit('BUYTARGET3', 'BUY', qty_percent=33, limit=TARGET3, alert_message='Buy Target3 hit/Book full Profit')
strategy.exit('BSL', 'BUY', stop=SL, alert_message='Buy SL hit')
table.cell(table_id=UpTabl, column=0, row=2, text='Buy')
table.cell(table_id=UpTabl, column=1, row=2, text=str.tostring(close))
table.cell(table_id=UpTabl, column=2, row=2, text=str.tostring(SL))
table.cell(table_id=UpTabl, column=3, row=2, text=str.tostring(TARGET1))
table.cell(table_id=UpTabl, column=4, row=2, text=str.tostring(TARGET2))
table.cell(table_id=UpTabl, column=5, row=2, text=str.tostring(TARGET3))
action := 'BUY'
table_bg_color := color.lime
table.set_bgcolor(table_id=UpTabl, bgcolor=table_bg_color)
if shortCondition
SL := math.round(dn, 2)
range_2 = math.abs(close - SL)
TARGET1 := close - range_2 * 1.7
TARGET2 := close - range_2 * 2.5
TARGET3 := close - range_2 * 3.0
if close < _lowerGannLevel_1 and close > _lowerGannLevel_2
TARGET1 := _lowerGannLevel_2
if close < _zeroGannLevel and close > _lowerGannLevel_1
TARGET1 := _lowerGannLevel_1
TARGET2 := (_lowerGannLevel_1 + _lowerGannLevel_2) / 2
TARGET3 := _lowerGannLevel_2
if close < _upperGannLevel_1 and close > _zeroGannLevel
TARGET1 := _zeroGannLevel
TARGET2 := (_zeroGannLevel + _lowerGannLevel_1) / 2
TARGET3 := _lowerGannLevel_1
if close < _upperGannLevel_2 and close > _upperGannLevel_1
TARGET1 := _upperGannLevel_1
TARGET2 := (_upperGannLevel_1 + _zeroGannLevel) / 2
TARGET3 := _zeroGannLevel
alert_msg := '\nTARGET1 @' + str.tostring(TARGET1) + '\nTARGET2 @' + str.tostring(TARGET2) + '\nTARGET3 @' + str.tostring(TARGET3) + '\n SL @' + str.tostring(SL)
strategy.entry('SELL', strategy.short, alert_message=alert_msg)
strategy.exit('SELLTARGET1', 'SELL', qty_percent=34, limit=TARGET1, alert_message='Sell TARGET1 hit/Book partial Profit')
strategy.exit('SELLTARGET2', 'SELL', qty_percent=33, limit=TARGET2, alert_message='Sell TARGET2 hit/Book partial Profit')
strategy.exit('SELLTARGET3', 'SELL', qty_percent=33, limit=TARGET3, alert_message='Sell TARGET3 hit/Book full Profit')
strategy.exit('SELLSL', 'SELL', stop=SL, alert_message='Sell SL hit')
table.cell(table_id=UpTabl, column=0, row=2, text='Sell')
table.cell(table_id=UpTabl, column=1, row=2, text=str.tostring(close))
table.cell(table_id=UpTabl, column=2, row=2, text=str.tostring(SL))
table.cell(table_id=UpTabl, column=3, row=2, text=str.tostring(TARGET1))
table.cell(table_id=UpTabl, column=4, row=2, text=str.tostring(TARGET2))
table.cell(table_id=UpTabl, column=5, row=2, text=str.tostring(TARGET3))
action := 'SELL'
table_bg_color := color.orange
table.set_bgcolor(table_id=UpTabl, bgcolor=table_bg_color)
// ===== EXIT CONDITIONS =====
if action == 'BUY' and barstate.isconfirmed and o2 > c2
strategy.close_all(comment='Long Exit', alert_message='Long Exit')
table.clear(UpTabl, 0, 2, 5, 2)
action := string('')
table_bg_color := color.gray
table.set_bgcolor(table_id=UpTabl, bgcolor=table_bg_color)
if action == 'SELL' and barstate.isconfirmed and o2 < c2
strategy.close_all(comment='Short Exit', alert_message='Sell Exit')
table.clear(UpTabl, 0, 2, 5, 2)
action := string('')
table_bg_color := color.gray
table.set_bgcolor(table_id=UpTabl, bgcolor=table_bg_color)
// ===== PLOT ENTRY SHAPES =====
plotshape(barstate.isconfirmed and longCondition ? close : na, title='B', text='BUY', location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.new(color.green, 0), textcolor=color.new(color.white, 0))
plotshape(barstate.isconfirmed and shortCondition ? close : na, title='S', text='SHORT', location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.new(color.red, 0), textcolor=color.new(color.white, 0))